Question 1

What is the cheapest AI model for chat?

Accepted Answer

The cheapest AI chat models are typically smaller models like GPT-3.5-turbo, Claude Instant, or open-source models on platforms like Together AI and Groq. Prices can be as low as $0.10-0.25 per million tokens. However, cheaper models may have reduced capabilities compared to flagship models like GPT-4 or Claude 3 Opus. Use CloudPrice to compare current prices across all providers.

Question 2

How much does GPT-4 cost?

Accepted Answer

GPT-4 pricing varies by version. GPT-4 Turbo costs approximately $10 per million input tokens and $30 per million output tokens. GPT-4o is more affordable at around $5/$15 per million tokens. OpenAI also offers GPT-4o-mini at significantly lower prices. Pricing may change, so check CloudPrice for current rates.

Question 3

What is the difference between input and output tokens?

Accepted Answer

Input tokens are the text you send to the AI model (your prompts, context, and conversation history). Output tokens are what the model generates in response. Most AI providers charge differently for input and output tokens, with output tokens typically being 2-4x more expensive because they require more computation to generate.

Question 4

Which AI model has the largest context window?

Accepted Answer

Google's Gemini 1.5 Pro currently offers one of the largest context windows at 1 million tokens. Anthropic's Claude 3 models support 200K tokens, while OpenAI's GPT-4 Turbo supports 128K tokens. Larger context windows allow processing more text in a single request but may cost more.

Question 5

What does 'supports vision' mean for AI models?

Accepted Answer

AI models with vision support can process and understand images in addition to text. You can send images as part of your prompt and the model can describe, analyze, or answer questions about them. Examples include GPT-4 Vision, Claude 3, and Gemini Pro Vision. Vision capabilities typically cost extra per image processed.

Model	Creator	Input Price, $	Output Price, $	Inference Providers	Context	Max Output	Intelligence	Coding
Qwen3.5 397B A17B	Alibaba	0.390	2.34	compare (3)	262K	66K	40.1#1	37.4#1
Kimi K2.5	Moonshot AI (Kimi)	0.500	2.80	compare (8)	262K	98K	37.3#2	25.8#4
GLM-4.7	Zhipu AI	0.390	1.75	compare (10)	205K	131K	34.2#3	32.0#2
DeepSeek V3.1	DeepSeek	0.150	0.750	compare (10)	164K	66K	27.7#4	28.4#3
Qwen3 Coder 480B A35B Instruct	Alibaba	0.220	1.30	compare (6)	262K	66K	24.8#5	24.6#5
GPT OSS 120B	OpenAI	0.039	0.190	compare (17)	131K	131K	24.5#6	15.5#9
GLM-4.6	Zhipu AI	0.390	1.90	compare (8)	205K	131K	23.4#7	19.7#6
GPT OSS 20B	OpenAI	0.030	0.140	compare (13)	131K	131K	20.8#8	14.4#12
Qwen3 Next 80B A3B Instruct	Alibaba	0.090	0.900	compare (7)	262K	66K	20.1#9	15.3#10
Qwen3 235B A22B	Alibaba	0.180	0.540	compare (8)	262K	131K	19.8#10	17.4#7
Llama 3.1 405B Instruct	Meta	0.120	0.300	compare (11)	131K	16K	17.4#11	14.5#11
Qwen3 235B A22B Instruct	Alibaba	0.090	0.580	compare (7)	262K	33K	17.0#12	14.0#13
DeepSeek V3	DeepSeek	0.200	0.200	compare (12)	164K	82K	16.5#13	16.4#8
DeepSeek R1	DeepSeek	0.280	0.400	compare (14)	164K	66K	16.4#14	7.8#14
Mixtral 8x7B Instruct	Mistral AI	0.070	0.280	compare (9)	33K	16K	7.7#15	N/A
BGE 1.5 Base EN	Baai	0.0080	N/A	compare (1)	512	N/A	N/A	N/A
GLM-4.5 Air FP8	Zhipu AI	0.200	1.10	compare (1)	128K	N/A	N/A	N/A
Kimi K2 Instruct	Moonshot AI (Kimi)	0.500	2.00	compare (6)	262K	33K	N/A	N/A
Llama 3.1 70B Instruct Turbo	Meta	0.100	0.280	compare (2)	131K	N/A	N/A	N/A
Llama 3.1 8B Instruct Turbo	Meta	0.020	0.030	compare (2)	131K	N/A	N/A	N/A
Llama 3.3 70B Instruct Turbo	Meta	0.130	0.390	compare (2)	131K	N/A	N/A	N/A
Llama 4 Maverick 17B Instruct	Meta	0.050	0.100	compare (7)	1.0M	16K	N/A	N/A
Llama 4 Scout 17B Instruct	Meta	0.050	0.100	compare (10)	10.0M	16K	N/A	N/A
Qwen2.5 7B Instruct	Alibaba	0.040	0.070	compare (6)	131K	8K	N/A	N/A
Qwen3 235B A22B Thinking	Alibaba	0.130	0.600	compare (7)	262K	33K	N/A	N/A
Qwen3 Next 80B A3B Thinking	Alibaba	0.098	0.780	compare (7)	262K	66K	N/A	N/A
Together AI 21 1B–41B	Together AI	0.800	0.800	compare (1)	N/A	N/A	N/A	N/A
Together AI 4 1B–8B	Together AI	0.200	0.200	compare (1)	N/A	N/A	N/A	N/A
Together AI 41 1B–80B	Together AI	0.900	0.900	compare (1)	N/A	N/A	N/A	N/A
Together AI 8 1B–21B	Together AI	0.300	0.300	compare (1)	N/A	N/A	N/A	N/A
Together AI 81 1B–110B	Together AI	1.80	1.80	compare (1)	N/A	N/A	N/A	N/A
Together AI Embedding 151M to 350M	Together AI	0.016	N/A	compare (1)	N/A	N/A	N/A	N/A
Together AI Embedding Up to 150M	Together AI	0.0080	N/A	compare (1)	N/A	N/A	N/A	N/A
Together AI Up to 4B	Together AI	0.100	0.100	compare (1)	N/A	N/A	N/A	N/A

AI Model Comparison